JOS

Abstract
Journal of Official Statistics, Vol.14, No.3, 1998. pp. 315323

Contents
Current Issue
Personal Reference Library (PRL)
Personal Page
Archive
Search
Home


Variance Estimation Using List Sequential Scheme 'for' Unequal Probability Sampling

Abstract:
The problem of variance estimation is discussed in the light of the list sequential scheme proposed by Chao (1982), in which units are selected without replacement and with unequal probabilities. The variance is hard to estimate as it requires a large number of second-order inclusion probabilities. We prove that it is unnecessary to compute all these probabilities. We show that variance estimation needs only N numbers, where N is the population size.

Keywords:
Variance estimation; sampling without replacement; Horvitz-Thompson estimator; Yates-Grundy estimator; inclusion probabilities; probability proportional-to-size sampling.

Help / Feedback
Copyright Statistics Sweden 1996-2014.  Open Access
ISSN 0282-423X
Created and Maintained by OKS Group